🧑‍🔬 Jenny Kunz

🏛️ Affiliations

🎓Linköping UniversityLinköping · Sweden2020–2026 · 18 papersEmploymentcurrent

From the bylines of their papers (OpenAlex, 2026-10-14), ORCID and Wikidata; institutions on papers are matched by machine. 1 more institution on single bylines are not listed.

🧭 Fields, topics and concepts

Of its works in our library, with the number of works on each.

📅 Works by year

2020s

📄 Papers

The most cited first (OpenAlex and our library).

1. Bridging the Resource Gap: Exploring the Efficacy of English and Multilingual LLMs for Swedish (2023 · 8 citations)
   The paper asks whether smaller languages such as Swedish actually need their own pre-trained large language models.
2. Family Matters: Language Transfer and Merging for Adapting Small LLMs to Faroese (2025 · 2 citations)
   Small generative models trained mostly on English handle Faroese poorly. Faroese has little text (about 95 million words in deduplicated FineWeb-2) and almost no evaluation data. The authors start from English-only base models and first continue pre-training them on a related Scandinavian language. In some settings…
3. Reading the News: Adapting Large Language Models to Swedish Journalism Through Continued Pre-Training (2026)
   The paper asks whether general-purpose LLMs can be specialised for Swedish journalism, a niche that combines a lower-resource language with an understudied domain, without training a model from scratch.

All works

5 works of theirs in our library, the most cited first; 3 with a page here, the others link their original until we summarise them.

1. Bridging the Resource Gap: Exploring the Efficacy of English and Multilingual LLMs for SwedishWorkshop on the Role of Resources in the Age of Large Language ModelsOskar Holmström, Jenny Kunz, Marco Kuhlmann2023 · 8 citations
2. Preferences for Idiomatic Language are Acquired Slowly –- and Forgotten Quickly: A Case Study on Swedish ↗Transactions of the Association for Computational Linguistics · no summary yetKunz, Jenny2026 · 2 citations
3. Family Matters: Language Transfer and Merging for Adapting Small LLMs to FaroesearXiv:2510.00810Jenny Kunz, Iben Nyholm Debess, Annika Simonsen2025 · 2 citations
4. How to Tune a Multilingual Encoder Model for Germanic Languages: A Study of PEFT, Full Fine-Tuning, and Language Adapters ↗Proceedings of the Joint 25th Nordic Conference on Computational Linguistics and 11th Baltic Conference on Human Language Technologies (NoDaLiDa/Baltic-HLT 2025) · no summary yetRomina Oji, Jenny Kunz2025 · 1 citation
5. Reading the News: Adapting Large Language Models to Swedish Journalism Through Continued Pre-TrainingarXiv:2608.30609Lukas Borggren, Jenny Kunz, Marco Kuhlmann2026

🤝 Co-authors here

3 co-authors with a page, the most papers together first.

• Marco Kuhlmann ×2
• Annika Simonsen
• Iben Nyholm Debess

Venues

Where their works here were published, the most works first, with the editions of those that have a page.

• Workshop on the Role of Resources in the Age of Large Language Models: Workshop on the Role of Resources in the Age of Large Language Models 2023
• Proceedings of the Joint 25th Nordic Conference on Computational Linguistics and 11th Baltic Conference on Human Language Technologies (NoDaLiDa/Baltic-HLT 2025)
• Transactions of the Association for Computational Linguistics

🔗 Cited by

Papers of our library cite their works 13 times (of the 149,439 papers whose bibliographies we read); 4 citing papers with a page here →.

Updated 31 October 2026

This page in Markdown → https://md.research.elamur.ai/free/en/authors/jenny-kunz/